Distributed Systems Engineer (Python)

Location: Full-time, on-site in Burnaby, Greater Vancouver Area, Canada; in-office attendance is required.

Annual salary: 89,600–166,400 CAD for British Columbia, plus potential bonus, equity, and benefits.

Company

hirify.global develops technology and engineering software for electronic design and semiconductor analysis.

What you will do

• Build ingestion pipelines and high-performance I/O for large-scale netlists, simulation data, and multi-TB circuit databases.
• Develop serialization and deserialization layers connecting Python and C++ components, along with streaming interfaces for distributed solver results.
• Implement fault-tolerant task distribution, scheduling, resource management, load balancing, monitoring, and observability for long-running simulations.
• Optimize task granularity, dependency management, and distributed workflow performance across compute clusters.
• Develop scalable visualization and interactive exploration for multi-dimensional, TB-scale simulation results using techniques such as downsampling, level of detail, and progressive rendering.

Requirements

• 3+ years of experience building distributed systems with Python.
• Experience with Dask, Spark, Ray, Celery, or a similar distributed computing framework.
• Understanding of distributed computing patterns, data locality, fault tolerance, data partitioning, and streaming.
• Experience with high-performance data formats such as HDF5, Parquet, or Arrow.
• Strong Python and C++ skills with production code experience, including some Python/C++ interoperability exposure through tools such as pybind11 or nanobind.
• Experience working in large codebases and collaborative development environments, with testing and code review practices.

Nice to have

• Background in EDA, VLSI, semiconductor design, or computational engineering.
• Scientific or engineering data visualization experience.
• HPC experience with Slurm, PBS, or LSF, and knowledge of GPU acceleration.
• Experience with Go, Plotly, Bokeh, Holoviews, Datashader, cloud platforms, or open-source distributed computing contributions.

Culture & Benefits

• Work on greenfield distributed infrastructure with modern tools and a clear technical vision.
• Collaborate with experienced systems engineers and domain experts in circuit simulation and numerical methods.
• Develop expertise in production distributed systems architecture, large-scale data pipelines, performance engineering, and observable infrastructure.
• Potential incentive compensation including bonus, equity, and benefits.